Global Forward Deployed Engineer (FDE)

About the RoleAt Canner, we're building breakthrough AI and data infrastructure that transforms data from a static asset into the core engine of enterprise decision-making. As part of our R&D team, you'll help drive the development and adoption of Wren AI.Wren AI is Canner's flagship open-source project, enabling Large Language Models (LLMs) to query enterprise data directly and providing AI Agents with precise semantic query capabilities. Our open-source repository has been featured on GitHub Top Trending for several consecutive weeks, accumulating nearly 16k+ stars and establishing itself as a leading global GenBI solution — a strong signal of worldwide developer recognition and demand.As a Forward Deployed Engineer (FDE), you'll be the engineer on the front line with our customers — deeply understanding their data architecture and business context, and turning Wren AI into the AI data infrastructure that powers their organization. You won't just respond to issues; you'll proactively drive customer success, channel frontline insights back to product, and accelerate our iteration cycle.If you're passionate about large-scale AI applications, working with international enterprises, serving global users, and learning the standards and expectations of multinational customers, this is an exceptional opportunity to participate in cutting-edge industry development.ResponsibilitiesServe as the technical partner and engineering point of contact for customers — understanding their data architecture, business needs, and use cases, and helping them plan and implement Wren AI best practices in their environmentLead customer onboarding and deployment, including data source connections (databases, data warehouses, etc.), semantic model (MDL) design and tuning, and AI model configuration and validationDesign and build custom integrations, PoCs, demos, and technical validations tailored to each customer's data environment, demonstrating Wren AI's value in their specific contextTriage, diagnose, and resolve technical issues customers encounter with the Wren AI platform/API — including natural language query accuracy, SQL generation, chart/report rendering, and API integration challengesCollaborate closely with Product and Engineering teams to translate customer needs and frontline insights into product issues and feature requests, and participate in testing fixes and validating new featuresWrite and maintain technical documentation, integration guides, best practices, FAQs, and solution templates to improve customer self-service and team-wide support efficiencyTrack and respond to customer requests within SLA, ensuring high-quality and timely resolutionAnalyze customer usage patterns and recurring issues to proactively propose product improvements and customer success strategies — improving product stability, user experience, and retentionSupport Wren AI's open-source community growth and engagement — responding to GitHub issues/discussions, supporting community contributors, writing technical blog posts and example projects, and participating in community events to expand our global developer ecosystemRequirementsEssential QualificationsBachelor's degree or above in Information Engineering, Software Engineering, Computer Science, or a related fieldHands-on experience with Python and/or Node.js — able to read and write code to understand product internals, debug issues, or build customer-facing integration scriptsStrong familiarity with databases and SQL — able to understand complex queries, performance issues, and optimization techniquesExperience with API integration, usage, and troubleshootingExcellent English communication skills (verbal and written) — comfortable reading technical documentation and engaging with international customersStrong problem-solving and analytical skills; detail-oriented, patient, and able to handle complex or multi-threaded tasks independently while remaining composed in front of customersStrong customer-facing mindset — enjoys direct customer interaction, understanding requirements, and proposing solutionsWilling to work flexible hours to support international customers across different time zones — including occasional evening or late-night meetings to align with customers in regions such as North America, Europe, or Southeast AsiaWilling to travel internationally as needed for customer on-site engagements, conferences, or partner meetings (estimated occasional travel, not frequent)Preferred SkillsExperience with SaaS platforms, BI tools, or Embedded AnalyticsFamiliarity with Large Language Models (LLMs) or GenBI / Text-to-SQL concepts and implementationExperience working with cross-functional global teams or onboarding international customersFamiliarity with cloud databases/data warehouses (e.g., BigQuery, Redshift, Snowflake, Databricks)Experience writing tutorials, training content, or technical blog postsExperience contributing to open-source projects, community management, or Developer Relations / Developer AdvocacyExperience in Solutions Engineering, Sales Engineering, Customer Engineering, or similar customer-facing engineering rolesMandarin Chinese proficiency is a plus but not required — our internal team communicates in both English and Traditional Chinese, and customer-facing work is conducted in English